Abstract
Sub-second respond time and real-time analytics are key requirements for applications that allow natural human computer interactions. We envision users of enterprise applications to interact with their software tools in such a natural way, just like any Internet user interacts with a web search engine today by refining search results on the fly when the initial results are not satisfying. In this initial chapter, we illustrate this vision of providing business data in real time and discuss it in terms of desirability, feasibility, and viability. We first explain the desire of supplying information in real time and review sub-second response time in the context of enterprise applications. We then discuss the feasibility based on in-memory databases that leverage modern computer hardware and conclude by demonstrating the economic viability of in-memory data management.
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Notes
- 1.
Main memory refers to silicon-based storage directly accessible from the CPU while in-memory refers to the concept of storing the primary data copy of a database in main memory. Main memory is volatile as data is lost upon power failure.
- 2.
It should be noted that reengineered versions of IMS have subsequently come to be used in a wide variety of scenarios.
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© 2012 Springer-Verlag Berlin Heidelberg
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Plattner, H., Zeier, A. (2012). Desirability, Feasibility, Viability: The Impact of In-Memory. In: In-Memory Data Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29575-1_1
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DOI: https://doi.org/10.1007/978-3-642-29575-1_1
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29574-4
Online ISBN: 978-3-642-29575-1
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